greenplum hadoop distribution

Greenplum + Hadoop learning notes-11-distributed database storage and query processing, hadoop-11- 3. 1. Distributed Storage Greenplum is a distributed database system. Therefore, all its business data is physically stored in the database of all Segment instances in the cluster. In the

Create a table. Without primarykey or uniquekey, GreenPlum uses the first column as the distribution key zwcdb # createtabletab01 (idint, namevarchar (20) by default. NOTICE: partition -- Partition Create a table. Without primary key or unique key, GreenPlum uses the first column as the distribution key zwcdb = # creat

Greenplum metadata errors can also affect the data backup process, and the workaround for this error is described in this article when a backup of a data structure using PG_DUMP results in a backup failure due to a lack of distribution policy.PhenomenonWhen you use the Pg_dump command to back up the data structure of the entire Greenplum database:-f /data/dailyba

preceding statement again to check the number of nodes (whether each node is distributed) and the number of nodes (whether the distribution is balanced ). After the above two observed indicators roughly meet the requirements, please use vacuum full and vacuum analyze to completely recycle space + collect statistics. Capture the source table of the job with a long time and analyze it one by one. The execution duration of the entire task is shortened f

databaseConnected to Database "DEVDW" as User "Gpadmin".devdw=# CREATE TABLE tab_01 (id int); Create a tableNotice:table doesn ' t has ' distributed by ' clause--Using column named ' ID ' as the greenplum Database data distribution Key for this table.Hint:the ' distributed by ' clause determines the distribution of data. Make sure column (s) chosen is the optim

Inkfish original, do not reprint commercial nature, reproduced please indicate the source (http://blog.csdn.net/inkfish). Hadoop is an open source cloud computing platform project under the Apache Foundation. Currently the latest version is Hadoop 0.20.1. The following is a blueprint for Hadoop 0.20.1, which describes how to install

Inkfish original, do not reprint commercial nature, reproduced please indicate the source (http://blog.csdn.net/inkfish). Hadoop is an open source cloud computing platform project under the Apache Foundation. Currently the latest version is Hadoop 0.20.1. The following is a blueprint for Hadoop 0.20.1, which describes how to install

1. Install hadoop First, extract the downloaded hadoop 0.20 package to the/home/Admin directory: Tar xzfhadoop-0.20.2.tar.gz Configure hadoop environment variables: Exporthadoop_install =/home/admin/hadoop-0.20.2 Exportpath = $ path: $ hadoop_install/bin Test whether the installation is successful:

Hadoop pseudo-distribution installation steps, hadoop Installation Steps2. steps for installing hadoop pseudo-distribution: 1.1 set the static IP address icon in the upper-right corner of the centos desktop, right-click to modify and restart the NIC, and run the Command serv

I have been studying hadoop by myself recently. Today I am spending some time building a development environment and working out my documents. First, you need to understand the hadoop running mode: Standalone)The standalone mode is the default mode of hadoop. When the source code package of hadoop is decompressed for t

I've been learning about Hadoop recently, and today I've spent some time building a development environment and documenting it. First, learn about the running mode of Hadoop: Stand-alone mode (standalone)Stand-alone mode is the default mode for Hadoop. When Hadoop's source package was first decompressed, it was not able to understand the hardware installation env

Notes on Hadoop single-node pseudo-distribution Installation Lab EnvironmentCentOS 6.XHadoop 2.6.0JDK 1.8.0 _ 65 PurposeThe purpose of this document is to help you quickly install and use Hadoop on a single machine so that you can understand the Hadoop Distributed File System (HDFS) and Map-Reduce framework, for examp

We have introduced the installation and simple configuration of hadoop in Linux, mainly in standalone mode. The so-called standalone Mode means that no daemon process is required ), all programs are executed on a single JVM. Because it is easier to test and debug mapreduce programs in standalone mode, this mode is suitable for use in the development phase. Here we mainly record the process of configuring the hadoo